{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>发票编号</th>\n",
       "      <th>分店</th>\n",
       "      <th>城市</th>\n",
       "      <th>顾客类型</th>\n",
       "      <th>性别</th>\n",
       "      <th>商品类别</th>\n",
       "      <th>商品单价（美元）</th>\n",
       "      <th>购买数量（件）</th>\n",
       "      <th>购买日期</th>\n",
       "      <th>时间</th>\n",
       "      <th>支付方式</th>\n",
       "      <th>支付费用（美元）</th>\n",
       "      <th>收益（美元）</th>\n",
       "      <th>购物体验评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>426-39-2418</td>\n",
       "      <td>分店C</td>\n",
       "      <td>城市C</td>\n",
       "      <td>普通顾客</td>\n",
       "      <td>男</td>\n",
       "      <td>电子配件</td>\n",
       "      <td>61.41</td>\n",
       "      <td>7</td>\n",
       "      <td>2020-01-14</td>\n",
       "      <td>10:02:00</td>\n",
       "      <td>现金</td>\n",
       "      <td>429.87</td>\n",
       "      <td>21.4935</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>527-09-6272</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>会员</td>\n",
       "      <td>女</td>\n",
       "      <td>电子配件</td>\n",
       "      <td>28.45</td>\n",
       "      <td>5</td>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>10:17:00</td>\n",
       "      <td>信用卡</td>\n",
       "      <td>142.25</td>\n",
       "      <td>7.1125</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>761-49-0439</td>\n",
       "      <td>分店B</td>\n",
       "      <td>城市B</td>\n",
       "      <td>会员</td>\n",
       "      <td>女</td>\n",
       "      <td>电子配件</td>\n",
       "      <td>12.10</td>\n",
       "      <td>8</td>\n",
       "      <td>2020-01-19</td>\n",
       "      <td>10:17:00</td>\n",
       "      <td>电子钱包</td>\n",
       "      <td>96.80</td>\n",
       "      <td>4.8400</td>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>421-95-9805</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>普通顾客</td>\n",
       "      <td>女</td>\n",
       "      <td>电子配件</td>\n",
       "      <td>28.96</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>10:18:00</td>\n",
       "      <td>信用卡</td>\n",
       "      <td>28.96</td>\n",
       "      <td>1.4480</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>811-03-8790</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>普通顾客</td>\n",
       "      <td>女</td>\n",
       "      <td>电子配件</td>\n",
       "      <td>45.48</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>10:22:00</td>\n",
       "      <td>信用卡</td>\n",
       "      <td>454.80</td>\n",
       "      <td>22.7400</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>828-61-5674</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>会员</td>\n",
       "      <td>男</td>\n",
       "      <td>运动与旅行</td>\n",
       "      <td>44.02</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>19:57:00</td>\n",
       "      <td>信用卡</td>\n",
       "      <td>440.20</td>\n",
       "      <td>122.0100</td>\n",
       "      <td>9.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>670-71-7306</td>\n",
       "      <td>分店B</td>\n",
       "      <td>城市B</td>\n",
       "      <td>普通顾客</td>\n",
       "      <td>男</td>\n",
       "      <td>运动与旅行</td>\n",
       "      <td>44.63</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>20:08:00</td>\n",
       "      <td>信用卡</td>\n",
       "      <td>267.78</td>\n",
       "      <td>13.3890</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>630-74-5166</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>普通顾客</td>\n",
       "      <td>男</td>\n",
       "      <td>运动与旅行</td>\n",
       "      <td>62.13</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-03-22</td>\n",
       "      <td>20:19:00</td>\n",
       "      <td>现金</td>\n",
       "      <td>372.78</td>\n",
       "      <td>18.6390</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>182-52-7000</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>会员</td>\n",
       "      <td>女</td>\n",
       "      <td>运动与旅行</td>\n",
       "      <td>27.04</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>20:26:00</td>\n",
       "      <td>电子钱包</td>\n",
       "      <td>108.16</td>\n",
       "      <td>5.4080</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>802-70-5316</td>\n",
       "      <td>分店A</td>\n",
       "      <td>城市A</td>\n",
       "      <td>会员</td>\n",
       "      <td>女</td>\n",
       "      <td>运动与旅行</td>\n",
       "      <td>92.13</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>20:34:00</td>\n",
       "      <td>现金</td>\n",
       "      <td>552.78</td>\n",
       "      <td>127.6390</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            发票编号   分店   城市  顾客类型 性别   商品类别  商品单价（美元）  购买数量（件）       购买日期  \\\n",
       "0    426-39-2418  分店C  城市C  普通顾客  男   电子配件     61.41        7 2020-01-14   \n",
       "1    527-09-6272  分店A  城市A    会员  女   电子配件     28.45        5 2020-03-21   \n",
       "2    761-49-0439  分店B  城市B    会员  女   电子配件     12.10        8 2020-01-19   \n",
       "3    421-95-9805  分店A  城市A  普通顾客  女   电子配件     28.96        1 2020-02-07   \n",
       "4    811-03-8790  分店A  城市A  普通顾客  女   电子配件     45.48       10 2020-03-01   \n",
       "..           ...  ...  ...   ... ..    ...       ...      ...        ...   \n",
       "995  828-61-5674  分店A  城市A    会员  男  运动与旅行     44.02       10 2020-03-20   \n",
       "996  670-71-7306  分店B  城市B  普通顾客  男  运动与旅行     44.63        6 2020-01-02   \n",
       "997  630-74-5166  分店A  城市A  普通顾客  男  运动与旅行     62.13        6 2020-03-22   \n",
       "998  182-52-7000  分店A  城市A    会员  女  运动与旅行     27.04        4 2020-01-01   \n",
       "999  802-70-5316  分店A  城市A    会员  女  运动与旅行     92.13        6 2020-03-06   \n",
       "\n",
       "           时间  支付方式  支付费用（美元）    收益（美元）  购物体验评分  \n",
       "0    10:02:00    现金    429.87   21.4935     9.8  \n",
       "1    10:17:00   信用卡    142.25    7.1125     9.1  \n",
       "2    10:17:00  电子钱包     96.80    4.8400     8.6  \n",
       "3    10:18:00   信用卡     28.96    1.4480     6.2  \n",
       "4    10:22:00   信用卡    454.80   22.7400     4.8  \n",
       "..        ...   ...       ...       ...     ...  \n",
       "995  19:57:00   信用卡    440.20  122.0100     9.6  \n",
       "996  20:08:00   信用卡    267.78   13.3890     5.1  \n",
       "997  20:19:00    现金    372.78   18.6390     7.4  \n",
       "998  20:26:00  电子钱包    108.16    5.4080     6.9  \n",
       "999  20:34:00    现金    552.78  127.6390     8.3  \n",
       "\n",
       "[1000 rows x 14 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data_supermarket = pd.read_excel(r'./dataset/超市销售数据.xlsx')\n",
    "data_supermarket "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 案例：统计超市每天的销售额，并画折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "购买日期\n",
       "2020-01-01    4519.22\n",
       "2020-01-02    1852.86\n",
       "2020-01-03    1979.17\n",
       "2020-01-04    1546.37\n",
       "2020-01-05    3368.27\n",
       "               ...   \n",
       "2020-03-26    1869.06\n",
       "2020-03-27    2764.59\n",
       "2020-03-28    2123.24\n",
       "2020-03-29    3831.66\n",
       "2020-03-30    4273.39\n",
       "Name: 支付费用（美元）, Length: 89, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sale_by_day = data_supermarket.groupby(by='购买日期')['支付费用（美元）'].sum()\n",
    "sale_by_day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] \n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(\n",
    "    sale_by_day.index, # sale_by_day的索引即日期，作为x轴,如果不认，需要在index再加个.values\n",
    "    sale_by_day.values, # sale_by_day的值即销售额，作为y轴\n",
    "    color = 'green' # 颜色代码，可以是十六进制颜色码\n",
    ")\n",
    "plt.title('日销售额折线图',fontsize=16)\n",
    "plt.xlabel('日期',fontsize=16)\n",
    "plt.ylabel('销售额',fontsize=16)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(rotation=30) # x轴刻度倾斜30度\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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